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OPTIMIZATION OF INJECTION MOULDING PROCESS FOR HDPE MOULDED GEAR by MOHD SYAHIR BIN MOHD KASSIM A Thesis Submitted in Partial Fulfilment of the Requirement for the Degree of Master of Science JULY 2015

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Page 1: OPTIMIZATION OF INJECTION MOULDING PROCESS FOR HDPE ...eprints.usm.my/41509/1/MOHD_SYAHIR_BIN_MOHD_KASSIM_24_Pages.pdf · OPTIMIZATION OF INJECTION MOULDING PROCESS FOR HDPE MOULDED

OPTIMIZATION OF INJECTION MOULDING PROCESS FOR HDPE

MOULDED GEAR

by

MOHD SYAHIR BIN MOHD KASSIM

A Thesis Submitted in Partial Fulfilment of the

Requirement for the Degree of

Master of Science

JULY 2015

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ACKNOWLEDGEMENT

Alhamdulillah, through His Blessing and Dignity of Allah s.w.t. allowed me

complete this thesis. I express my sincere gratitude to my supervisor, Assoc. Prof

Dr. Shahrul B. Kamaruddin, for their endless guidance, support and encouragement

towards completion of this research. Without his guidance and motivation, I could

not have finished this dissertation.

The assistance from my colleagues; Nik Mizamzul Bt Mehat and Amirul

Aliff Bin Jamaluddin is valuable for their help on perfecting my experiment plan and

solving many related problems. Also special appreciation to all staff in Mechanical

Engineering Department, USM for their help and support at work especially Mr.

Syawal Faizal for his machine and mould setup.

I express my heartfelt gratitude to my beloved family mainly my father Mohd

Kassim Shaik Mohd who give me moral support and inspiration. Finally, I would

like to express my appreciation to Ministry of Higher Education, Mybrain15, for

funding my tuition fees as well as USM research grant that providing me allowances

during my study.

Mohd Syahir Bin Mohd Kassim

JULY 2015

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TABLE OF CONTENTS

Contents

ACKNOWLEDGEMENT ........................................................................................... ii

TABLE OF CONTENTS ............................................................................................ iii

LIST OF TABLES ...................................................................................................... vi

LIST OF FIGURES .................................................................................................. viii

LIST OF ABBREVIATIONS ...................................................................................... x

ABSTRAK ................................................................................................................. xii

ABSTRACT .............................................................................................................. xiv

CHAPTER 1 ................................................................................................................ 1

1.0 Overview ........................................................................................................... 1

1.1 Research Background........................................................................................ 1

1.2 Plastic Recycling ............................................................................................... 2

1.3 Injection Moulding ............................................................................................ 4

1.4 Problem Statement ............................................................................................ 4

1.5 Research Objectives .......................................................................................... 5

1.6 Research Scope ................................................................................................. 6

1.7 Thesis Outline ................................................................................................... 7

CHAPTER 2 ................................................................................................................ 8

2.0 Overview ........................................................................................................... 8

2.1 Plastic Overview ............................................................................................... 8

2.2 Plastics Recycling ........................................................................................... 10

2.3 Limitations of Recycled Plastic ...................................................................... 13

2.4 Plastic Gear ..................................................................................................... 14

2.5 Plastic Gear Manufacture ................................................................................ 16

2.5.1 Injection Moulding Process ..................................................................... 17

2.5.2 Influential Factors on Injection Moulded Quality ................................... 19

2.6 Optimization Method ...................................................................................... 24

2.6.1 Taguchi Method ....................................................................................... 25

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2.6.2 A Review on the Previous Works of Taguchi Method ............................ 27

2.6.3 Principal Component Analysis ................................................................ 29

2.6.4 Integration Taguchi Method with Principal Component Analysis (PCA)32

2.7 Findings from the Literature ........................................................................... 34

CHAPTER 3 .............................................................................................................. 37

3.0 Overview ......................................................................................................... 37

3.1 Materials .......................................................................................................... 37

3.2 Product Part Description ................................................................................. 38

3.3 Screening Experiment ..................................................................................... 39

3.3.1 Determining the Quality of Characteristics ............................................. 41

3.3.2 Selection of Processing Parameters ......................................................... 41

3.3.3 Selection of Orthogonal Array (OA) ....................................................... 42

3.3.4 Quality Testing ........................................................................................ 43

3.3.5 Analysis of Screening Experiment .......................................................... 46

3.4 Optimization Experiment ................................................................................ 50

3.4.1 Selection of Orthogonal Array (OA) ....................................................... 52

3.4.2 Quality Testing ........................................................................................ 54

3.4.3 Analysis of Optimization ......................................................................... 55

3.4.4 Confirmation Test .................................................................................... 62

3.5 Feasibility Experiment .................................................................................... 62

3.5.1 Quality Testing of Recycled HDPE Plastic Gear .................................... 67

3.5.2 Analysis of Quality Performance on Recycled HDPE Moulded Gear .... 68

3.6 Summary ......................................................................................................... 69

CHAPTER 4 .............................................................................................................. 70

4.0 Overview ......................................................................................................... 70

4.1 Screening Experiment ..................................................................................... 70

4.1.1 Signal to Noise Ratio ............................................................................... 72

4.1.2 Analysis Of Variance (ANOVA) ............................................................. 73

4.1.3 Result of Screening Experiment .............................................................. 81

4.2 Optimization Experiment ................................................................................ 82

4.2.1 S/N Ratio and Normalization ................................................................... 85

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4.2.2 Principal Component Analysis, PCA....................................................... 88

4.2.3 Main Effect Analysis and Optimization on MQCI .................................. 92

4.2.4 Interaction Effect Analysis ...................................................................... 95

4.2.5 ANOVA of MQCI ................................................................................... 99

4.2.6 Prediction of Optimal Process Condition .............................................. 101

4.3 Confirmation Test of Optimal Combination Result ...................................... 102

4.4 The Feasibility of Multiple Reprocessing ..................................................... 104

4.4.1 Rheological Analysis ............................................................................. 105

4.4.2 Thermal Analysis ................................................................................... 106

4.4.3 Thermal Stability Test ........................................................................... 107

4.4.4 Quality Effect of Multiple Recycle Moulded Gear Test........................ 108

4.5 Summary ....................................................................................................... 112

CHAPTER 5 ............................................................................................................ 113

5.0 Overview ....................................................................................................... 113

5.1 Conclusion .................................................................................................... 113

5.2 Recommendation for Future Works .............................................................. 116

REFERENCES ......................................................................................................... 118

APPENDIX - A ........................................................................................................ 128

APPENDIX - B ........................................................................................................ 129

APPENDIX - C ........................................................................................................ 130

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LIST OF TABLES

Page

Table 3.1 General Properties of High Density of Polyethylene ............................ 38

Table 3.2 Processing Parameter and Levels ......................................................... 42

Table 3.3 Taguchi's Orthogonal Array L18 ........................................................... 43

Table 3.4 Orthogonal Array of L27 with Interaction Effect ................................... 53

Table 4.1 Processing Parameter for Screening Experiment .................................. 71

Table 4.2 Screening Experiment Setup via L18 OA .............................................. 71

Table 4.3 S/N Ratios of Experiment Results ........................................................ 72

Table 4.4 ANOVA for Addendum Shrinkage ...................................................... 76

Table 4.5 ANOVA for Dedendum Shrinkage....................................................... 77

Table 4.6 ANOVA for Tooth Thickness Shrinkage ............................................. 77

Table 4.7 ANOVA for Ultimate Strength ............................................................. 78

Table 4.8 ANOVA for Modulus Young ............................................................... 79

Table 4.9 ANOVA for Elongation at Maximum Load ......................................... 80

Table 4.10 Screening Result of Significant Parameters .......................................... 82

Table 4.11 Processing Parameter for Optimization Experiment ............................ 83

Table 4.12 Optimization Experiment Setup via L27 OA ......................................... 84

Table 4.13 Responses of Optimization Experiment ............................................... 85

Table 4.14 S/N Ratios of the Optimization Experiment Results ............................ 86

Table 4.15 Normalization of Optimization Experiment Result .............................. 87

Table 4.16 Correlation Coefficient Matrix of the Multiple Quality

Characteristics ....................................................................................... 89

Table 4.17 Eigenvalues, Proportion Explained, and Cumulative Total .................. 89

Table 4.18 Eigenvectors Corresponding to the Eigenvalues .................................. 89

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Table 4.19 Principal Component Scores and Total PC Score as the

Multiple Quality Characteristics Indices (MQCI) ................................ 91

Table 4.20 Main Effect Performance on Multiple Quality Characteristic

Indices ................................................................................................... 93

Table 4.21 Interaction Effect of Melting Temperature and Mould

Temperature .......................................................................................... 97

Table 4.22 Interaction Effect of Melting Temperature and Cooling Time ............. 97

Table 4.23 Interaction Effect of Mould Temperature and Cooling Time ............... 98

Table 4.24 ANOVA for MQCI with Interaction Effect ........................................ 100

Table 4.25 Result of Confirmation Test for Multiple Quality

Characteristic ...................................................................................... 103

Table 4.26 Quality of Moulded Gear for Recycled HDPE ................................... 109

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LIST OF FIGURES

Page

Figure 3.1 Geometry and Specification of Spur Gear ............................................ 38

Figure 3.2 Flow Chart of Screening Experiment ................................................... 40

Figure 3.3 Fixture for Tensile Test ......................................................................... 46

Figure 3.4 Flow Chart of Optimization Experiment .............................................. 51

Figure 3.5 Flow Chart of Feasibility Experiment .................................................. 63

Figure 3.6 Melt Flow Index Equipment ................................................................. 65

Figure 3.7 TA-Q20 Differential Scanning Calorimeter ......................................... 66

Figure 3.8 Perkin-Elmer Pyris 1 TGA ................................................................... 67

Figure 4.1 Main Effect Plots of MQCI .................................................................. 93

Figure 4.2 Interaction Effects Plot of Melting Temperature and Mould

Temperature .......................................................................................... 97

Figure 4.3 Interaction Effects Plot of Melting Temperature and Cooling

Time ...................................................................................................... 98

Figure 4.4 Interaction Effects Plot of Mould Temperature and Cooling

Time ...................................................................................................... 99

Figure 4.5 Melt Flow Index toward 15th Recycles of HDPE .............................. 105

Figure 4.6 Graph of Melting Temperature and Percentage of Crystallinity

of HDPE .............................................................................................. 107

Figure 4.7 Graph Thermal Stability of HDPE toward Number of Recycle ......... 108

Figure 4.8 Shrinkage Rate of Moulded Gear toward Number of Recycle ........... 109

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Figure 4.9 Ultimate Strength of HDPE Moulded Gear toward Number of

Recycle ................................................................................................ 110

Figure 4.10 Modulus Young of HDPE Moulded Gear toward Number of

Recycle ................................................................................................ 110

Figure 4.11 Elongation at Maximum Load of HDPE moulded Gear toward

Number of Recycle ............................................................................. 111

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LIST OF ABBREVIATIONS

AGMA American Gears Manufacturers Association

ANOVA Analysis of Variance

CAD Computer-Aided Engineering

CRS Conventional Runner Systems

DOE Design of Experiment

DOF Degree of Freedom

DSC Differential Scanning Calorimeter

EPDM Ethylene–Propylene–Diene Terpolymer

HDPE High Density Polyethylene

HRS Hot Runner System

LDPE Low Density Polyethylene

MPI Multi Performance Index

MQCI Multiple Quality Characteristics Index

MSW Municipal Solid Waste

OA Orthogonal Array

PA Polyamide

PCA Principle Component Analysis

PIW Post-Industrial Wastes

PP Polypropylene

S/N Signal-to-Noise

SAW Submerge Arc Weld

SRT Scrap Rubber Tires

Tdec Decompose Temperature

TGA Thermal Gravimetric Analysis

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Tonset Onset Temperature

WPCA Weighted Principle Component Analysis

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PENGOPTIMUMAN PROSES SUNTIKAN ACUAN TERHADAP HDPE

GEAR

ABSTRAK

Pada masa kini, penggunaan plastik seluruh dunia meningkat secara mendadak dalam

pelbagai applikasi produk. Berikutan permintaan, pengeluaran yang pantas

diperlukan untuk menampung keperluan pasaran. Oleh kerana itu, semua pengilang

plastik berusaha keras untuk mengekalkan kualiti produk dan pengilang juga

dibebani dengan masalah pengurusan sisa plastik yang berkaitan dengan perlupusan

sisa post-industri yang cekap. Pelbagai usaha telah dilakukan untuk memudahkan

kitar semula plastik ke tahap yang lebih bagus dalam menyelesaikan isu pelupusan

plastik serta peningkatan kualiti produk. Dalam kajian ini, kebolehlaksanaan proses

berkala kitar semula HDPE dikaji berdasarkan ciri-ciri kestabilan dimensi, sifat

mekanikal dan reologi bahan. Pengoptimuman proses parameter acuan suntikan

terhadap gear HDPE telah dilaksanakan melalui kaedah integrasi Taguchi dan

prinsipal komponen analisis (PCA). Penilaian prestasi mengambil kira fungsi pada

gear plastik, kadar pengecutan dan sifat pemanjangan bahan. Eksperimen saringan

telah dilakukan dengan susunan ortogon L18 untuk proses penyaringan parameter

beerti yang terlibat. Kemudian, parameter yang optimal dan kesan interaksi

parameter telah dikenal pasti melalui pengoptimuman eksperimen dengan

menggunakan L27 OA, PCA, analisis kesan utama dan analisis varians (ANOVA).

Keputusan mendapati, kadar pengecutan dan sifat tegangan pada gear HDPE dapat

dioptimumkan secara serentak. Akhir sekali, parameter optimum yang diperolehi

telah digunakan dalam eksperimen kebolehlaksaan untuk penilaian prestasi kitar

semula berkala untuk HDPE. Keputusan mendapati bahawa pemprosesan kitar

semula berkala pada peringkat ke-3 hingga ke-7 mempunyai prestasi yang optimum

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di mana prestasi ia hampir sama dengan prestasi HDPE yang asal. Hasil daripada

penyelidikan ini menunjukan bahawa keberkesanan integrasi kaedah Taguchi dengan

PCA telah terbukti dalam pengoptimumam proses parameter dan pelbagai kualiti

dalam HDPE gear telah dapat ditingkatkan secara serentak dengan bilangan nombor

eksperimen yang rendah.

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OPTIMIZATION OF INJECTION MOULDING PROCESS FOR HDPE

MOULDED GEAR

ABSTRACT

Nowadays, the world's plastic usage has drastically increased in various applications

of product. As demand, a high speed production is requires to sustain the market

needs. Consequently, all plastic manufacturers are struggling to maintain the quality

of moulded product and they are also burdened with plastic waste management

issues related to the efficient disposal of the post-industrial waste. Numerous efforts

have been done to facilitate the plastic recycling to a greater extent in solving the

plastic disposal issues as well as quality improvement of moulded product. In this

research, the feasibility of multiple recycle HDPE is investigated based on their

dimensional stability, mechanical and rheological properties. The optimization of the

injection moulding processing parameters for HDPE gear is presented via integration

of Taguchi method with principal component analysis (PCA). Considering the

functionality of the plastic gear, the shrinkage rate (tooth thickness, addendum and

dedendum circle) and tensile properties (ultimate strength, Modulus Young, and

elongation at maximum load) are selected as the performance response. A screening

experiment was conducted with an L18 orthogonal array (OA) to screen out the

significant parameters involved. Later, the optimal parameters and interaction effect

is identified via optimization experiment with the used of L27 OA, PCA, main effect

analysis and analysis of variances (ANOVA). As a result, the shrinkage

characteristics and tensile properties of moulded gear are optimized simultaneously.

Finally, the obtained optimal parameter settings were used in feasibility experiment

in order to evaluate the performance of multiple recycle HDPE. The results depict

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that reprocess cycle at 3rd to 7th have the optimal condition which closes to virgin

HDPE performance. The experimental findings show the effectiveness of the

integration Taguchi method with PCA in optimizing parameter settings has proved

and also improve the multiple quality characteristics of HDPE moulded gear

simultaneously with minimum number of experiment.

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CHAPTER 1

INTRODUCTION

1.0 Overview

This chapter describes the research background including the plastic

recycling injection moulding and the problem statement. Subsequently, the research

objectives and scope has been explained. Finally, the thesis outline has been

discussed in this chapter.

1.1 Research Background

The revolution of the industrial plastic is believed to have started around

1800s and it has attracted more attention of researchers in plastic development since

it was introduced. In 1856, the first plastic was patented as 'Parkesine' by Alexander

Parkes, a British metallurgist who introduced an organic material cellulose treated

with solvent of nitric acid to create plastic (Fenichell, 1996). Later, an American

researcher, John Wesley Hyatt has successfully created plastic in year 1869 with

celluloid, where it has derived from cellulose and alcoholized camphor (McCord,

1964). Over a few decades, plastic material has been modified chemically for

improvement and finally it was derived into synthetic material or known as modern

plastic.

The development of plastic offers more benefits to human life in various

applications of product because of their natural properties such as lightweight,

durability and versatility. Due to these characteristics, plastic demand has increased

drastically around the world to replace other materials to fulfil market needs from

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simple product such as storage container, to sophisticated product such as heart

replacement valve. In fact, with a wide range of properties with low cost of raw

material, the global plastic production is significantly increased over 260 million tons

by today. The quantities of plastics have been estimated will be reach at least 19

billion tons annually by 2025 (Yoshizawa et al., 2004). However, the excessive

plastic product usage has directly increased the plastic waste. Additionally,

inefficient plastic waste management has contributed to environmental issues in our

life. Various approaches have been applied in plastic waste management such as

recycling, landfill and incineration to overcome the plastic waste issue (Lazarevic et

al., 2010). Due to limited space of landfill and non biodegradable plastic waste,

landfill method is not really efficient to solve the problem of plastic waste, which

takes a long period to decompose. Besides, incineration of plastic waste will release

hazardous gasses that will affect the environmental and also human health. Realizing

of these limitations of landfill and incineration method, recycling approach is

considered to be used to solve plastic waste issues.

1.2 Plastic Recycling

Currently, the plastic waste management has been considered as a vital issue

for Malaysian government due to the increasing population and the Malaysian

lifestyle that contributes to environmental issues. Various efforts have been done to

give awareness of the public about plastic recycling. Plastic recycling is the most

effective method to manage plastic waste compared to the landfill and incineration

waste disposal methods. Many studies have proven that plastic recycle products

highly beneficial to the society, economic and environment as well (Ahmad &

Mayamin, 2012).

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The application of recycled plastic significantly can reduce the consumption

of petroleum and preserve the limited resources. In fact, most of plastics are

produced from fossil fuel or natural gas. The production of plastics needs 8% of the

world's annual oil production as a feedstock, where 4% from that amount is used in

energy consumption of plastic process (Plastic Ocean, 2010). Besides, the recycled

plastic material can saved up to 70% of energy consumed in the process plant in

terms of electricity or fuel compared to virgin resins production (Santos & Prezzin,

2003). If all these factors are considered, the recycling of plastic waste would be

efficient.

To date, the government authority has restricted the environment regulations

to all plastic manufacturers in order to comply the ISO14001 in preventing pollution.

Manufacturers need to considering the green productions in order to facilitate the

plastic recycle process to a greater extent. Nevertheless, a large scale of recycled

plastic has been doubted to be good replacement of virgin plastics. The changes of

material properties in plastic recycling such as mechanical and rheological properties

have created a bad perception that plastic recycling has produced low quality

products. Therefore, most of manufacturers prefer a virgin resin plastic in their

production rather than recycled resin plastic. Indeed, the properties of recycled

plastic tend to decrease after several reprocessing cycles (Balart et al., 2005).

However, the improvement quality of recycled plastic product could be made via

optimization processing parameters in order to find optimal performance with

satisfactory quality.

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1.3 Injection Moulding

Injection moulding is one of the common methods used in plastic

manufacturing process for fabrication of plastic part with a great dimensional

tolerance; vary size product and complexity. Growing demands on plastic product

requires high speed production line to sustain market needs. The quality product will

be the first priority in manufacturing process to avoid rejected part and loss of profit.

To achieve a good quality product, several factors needs to be considered in term of

materials, injection machine, mould design and process parameter setting.

In view of process control, processing parameters of injection moulding can

be classified into four groups; temperature, time, pressure and distance. The quality

of moulded part fluctuates within a particular range due to incompatible input

parameters setting (Alireza & Mohammad, 2011). Moreover, the interaction effect

analysis of particular parameters is required in determining the relationship between

the parameters. Therefore, finding the optimized parameters is most desirable in

injection moulding process in order to achieve a good quality performance of

moulded parts.

1.4 Problem Statement

In the injection moulding industry, the processing parameter setting

significantly influences the quality of moulded product. Previously, trial and error

method is used in determining the optimal parameters settings. However, this

method is not systematic and it involves high cost of operation. The optimization

process parameter requires multidisciplinary knowledge and more systematic method

to replace the trial and error method which causes consuming time, high cost and

needs extra works. This issue has been raised among plastic manufacturers to find

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out an efficient optimization approach which has the ability to optimize multiple

quality characteristics of moulded parts. Therefore, this study proposes an efficient

optimization method of injection moulding process parameter.

Regarding the plastic recycle issues, many plastic manufacturers have

interest to utilize plastic recycle material into their plastic fabrication in order to

reduce production cost. Usually the plastic recycle properties have improved via

blending method, either blending with virgin material or other different materials.

However, is it possible for multiple recycles of polymer to be able to provide a good

quality of moulded part? Hence, an alternative effort has been done in this study to

investigate the feasibility and quality finished product of multiple reprocessing of

HDPE plastic material toward optimize processing parameter.

1.5 Research Objectives

The objectives of this research can be describes as;

1. To optimize the processing parameters of injection moulding in order to

achieve the optimal quality performance of moulded gear.

2. To study the effectiveness of integrated Taguchi method with Principal

Component Analysis in optimizing multiple quality characteristics of

moulded part.

3. To investigate the feasibility and quality finished product of multiple recycle

plastic towards optimized processing parameter.

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1.6 Research Scope

In view of plastic waste management, there are two types of plastic waste that

can be classified; post-consumer waste and post-industrial waste. In this study, the

post-industrial waste is preferred due to its purity of material and the possibility of

contamination material is less. Additionally, plastic type is restricted to

thermoplastic because of their recyclable properties, which has the ability to undergo

the reheating process. Considering the common thermoplastic material, High

Density Polyethylene (HDPE) is selected as the main material for fabricating

moulded gear. To limit scope of study, the recycle material is prepared from virgin

material scraps and it is used repeatable for 15 reprocessing cycles.

Considering the application of plastic gear, the dimensional stability and

mechanical properties of gear have been selected to be analyzed for quality

improvement. Due to the complexity of geometry, the injection moulding process is

used to produce the moulded gear via numerous parameters settings. The significant

processing parameter of injection moulding is analyzed in order to obtain the optimal

performance of quality characteristic moulded gear. The integrated of Taguchi

method and principal component analysis (PCA) were utilized in the optimization

process of multiple quality characteristics performance.

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1.7 Thesis Outline

This thesis covers five chapters which include introduction, literature review,

methodology, result and discussion, and conclusion. Chapter 1 in briefly discusses

the research background which is related to plastic development, the issue of plastic

waste management, injection moulding, plastic product quality and processing

parameter. Moreover, the problem statement and objectives of this research are also

mentioned in this chapter. Chapter 2 discussed the current knowledge and studies

from other researchers that are related to fundamental of plastic, plastic recycling,

injection moulding process, improvement quality of moulded plastic and

optimization of process parameter. Chapter 3 describes the methodology used in this

research where the procedure is explained in detail including the screening,

optimization and feasibility of experiment. Chapter 4 analyses and discusses the

result obtained from experiments based on optimization of processing parameters

toward quality moulded gear. The feasibility experiment analyzes the effect of

recycles material toward the quality of moulded gear. Finally, chapter 5 highlights

the conclusion of research work in this chapter and ends with recommendations for

future work.

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CHAPTER 2

LITERITURE REVIEW

2.0 Overview

This chapter begins with a brief discussion about plastic material, their

consumption and their impact on environmental issues. Later, the following sub-

section described the matters on plastic recycling including the limitation on the uses

of recycled plastic. Considering the gear as a main subject to be pertinent with plastic

applications, the details on plastic gear will be review thoroughly on subsequent sub-

section. An introduction to numerous of plastic gear’s processing method is

presented and the injection moulding process is highlighted as a main focus to be

discussed in this study. Subsequently, the influences of material selection, mould

and product shapes design as well as processing parameters in affecting the quality of

produced parts has been reviewed. Previous work relating with standalone Taguchi

method and integration of Taguchi method with principle component analysis (PCA)

will be reviewed thoroughly. Finally, the findings from the literature review will be

concluded at the end of this chapter.

2.1 Plastic Overview

“Plastic” was defined as a type of high molecular mass synthetic polymers

(American Chemistry Council, 2012). Generally, plastics are formed from the

organic natural resources originated from the synthesis of plants or petrochemicals

substances and it can be classified into two types: thermosetting and thermoplastic.

Thermosets is a synthetic polymer that cannot be reprocessed once it was used during

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manufacturing process. However, thermoplastic has a contra characteristic with

thermoset material. Thermoplastic is a synthetic polymers that can be recurrently

reheated over and over against without undergoes any substantial chemical change.

The variability and versatility of plastic materials have allowed themselves to meet

specific technical requirements for particular applications.

Plastic’s product manufacturing is one of the most growth industries in the

world. The unique characteristics of plastics, such as durable, lightweight and

inexpensive are very attractive to be used as a daily consumer’s product. Plastics

application has highly penetrated into multi-purpose application such as in producing

the electric and electronic parts, household, packaging material, automotive part,

construction material, medical tool and many more. According to Jose (2012),

Global Industry Analysts Incorporation has reported that the global plastic

consumption will reach approximately 297.5 million tons by 2015. Moreover, it was

expected that the global plastics consumption will grow for 4% per year from 2010

to 2016. Obviously, the aforementioned statistic has figured out that plastics have

become an important material in our daily life application.

Unfortunately, the huge amount of plastics consumption has raised a critical

issues related to the environmental conservation problems. The non-biodegradability

properties of plastic materials lead to the increasing amount of plastic wastes and

become a major threat particularly on land pollution problems since it probably takes

a decade to completely decompose. According to U.S. Environmental Protection

Agency (2014), there are 32 million tons of plastic waste were generated in 2012,

which accounts for 12.7% of total municipal solid waste (MSW) where 14 million

tons of plastics are packaging and containers, 11 million tons are durable goods and 7

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million tons are nondurable goods. It is very difficult and costly to manage such a

huge amount of plastic wastes.

Hence, there is necessary to find the best solution for a sustainable plastic

waste management strategy to properly manage the huge amount of plastic materials

that piled in the waste stream. At present, the landfill disposal method and

incineration method is not more relevant due to the limitation of land filling space

availability and an emission of dangerous gaseous that can harm human health.

Therefore recycling is identified as the best solution for plastic wastes management

with the advantage in pollution reduction as well as effective reduction of fossil

energy consumption.

2.2 Plastics Recycling

Since plastic was introduced in 1940s, the plastic’s production and

consumption was increase drastically due to high demands all around the world for

various applications in order to fulfil the current needs. Consequently, plastic solid

wastes disposal has increased instantly. Thus, the plastic recycling approach has

promise a best solution in reducing the rate of plastic wastes disposal, reduces the

issues on the landfill’s space problem as well as reduction in the emission of harmful

gaseous through incineration process. According to Fei (2013), plastic wastes can be

divided into two categories consist of post-consumer wastes and post-industrial

wastes. Post-consumer waste can be referred as the wastes that generated by

surrounding consumers especially by the peoples in residential area. Generally, post-

consumer plastic wastes are contaminated with other foreign materials and need to be

segregated before the recycling process can be performed (Takoungsakdakun &

Pongstabodee, 2007). On the other hand, post-industrial wastes are referred as the

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process scrap parts such as sprues, runners and defect parts that are not contributing

into production. In contrary to post-consumer plastic wastes, the post-industrial

plastic wastes are relatively clean since it consists of homogenous materials type.

Therefore, the compatibility problem should not be an issue in this post-industrial

plastic wastes recycling process.

Generally, plastic recycling process can be divided into four major categories;

primary, secondary, tertiary and quaternary. Each category provides a particular

benefit and advantage for specific requirement.

i. Primary recycling

Primary recycling is known as a closed loop recycling method. The disposed

polymers such as drinking bottle and oil container is collected and reprocessed to

their original use with similar properties (Al-Salem 2009). However, the plastic

wastes should be properly segregated since this primary recycling only compromise

for clean and homogenous plastics type.

ii. Secondary recycling

Secondary recycling process is referred to an open loop recycling process that

involved the altering of mechanical or physical properties of new produced products

(Mastellone, 1999). In fact, the wastes used in this secondary process consist of

heterogeneous plastics type that commonly contaminated with other post-consumers

materials. Therefore, the recycled product’s performance is downgraded due to the

existences of impurities and incompatibility issues.

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iii. Tertiary recycling

Tertiary recycling process is knows as feedstock or commonly known as

chemical recycling. This type of recycling process involve an advance processing

approach by converting polymer wastes into low molecular weight, monomers or

valuable chemical for petrochemical stock (Cardona & Corma, 2000). Common

process involved for tertiary recycling process is chemical depolymerisation and

thermal decomposition reaction. However, it is very costly and limited to be applied

for commercial purpose due to economical consideration.

iv. Quaternary recycling

Quaternary recycling or energetic recycling is a process that involved the

energy recovery by plastic wastes combustion as a source to generate electricity (Ha

& Kyung, 2012). However, the plastic that is derived from crude oil may contain a

very high calorific composition and it will release several of harmful gaseous such as

dibenzofurans which irritated to human and environment health. Although it offers

several advantages for energy recovery purpose, this quaternary recycling process is

considered as the last method option for plastic wastes annihilation due to health and

safety issues.

The classification of recycling process is clearly discussed in this section and

it is very useful to recognize the type of recycling process that is involved in this

study. Besides, the recycling material has several limitation in order to maintain the

performance of quality material same as virgin material. This issue will discuss in

the next section.

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2.3 Limitations of Recycled Plastic

The biggest challenge of recycling process is to maintain the polymer

performance within levels, which allow the material reuse in the same or other

particular purpose. Almost all established plastic industry are preferred the virgin

plastic resin to ensure and secure the properties of the material meet their product

requirement especially in food packaging sector, medical tool and for baby product

(Eureka Recycling, 2009). Although plastic waste undergoes several recycle process

and a comprehensive treatments is needed to ensure it as pure as possible.

Basically the properties of recycled plastic have changes after recycling

process particularly on physical properties such as material purity, thermal and

mechanical properties. This phenomenon occur during reprocessing operation that is

caused degradation effect and directly change the molecular structure where it gives

side effect on the mechanical performance and on the rheological characteristics

(Scaffaro, 2012).

Contamination with impurities material often appears on recycling plastic

because uncontrolled waste material during segregation process. The contamination

recycled plastic are referred in various form such as dirt, partially oxidized polymers,

printing inks, paper, pesticides, metals, additives and so on (Scheirs 1996). Normally

it happens to post-consumer waste because they are not classified the plastic waste

properly follow their type and mixed with other element. Ruifeng and Rakesh

(2001) were claimed in their study that 1% impurity of polymeric have enough to

decrease certain mechanical properties. It means more than 99% purity of polymer is

needed to sustain their originality of material properties. In addition, the blending of

difference types of polymer could be treated as impurity because the microstructure

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it formed, incompatible each other and contribute the fraction in microstructure.

Mathew and Thomas (2003) has proved in their study that incompatible blending

polymer can induces the poor adhesion of microstructure and the polymeric fraction

which influences the performance of material properties.

Thermal degradation is also one of the effects in polymer recycling process.

Generally, thermal degradation occurred when the polymer is overheated exceeding

the service temperature until the primary chemical bonding are separated or known

as molecular scission (Van & Klass, 2009). Once the microstructure of the polymer

is changes due to thermal degradation, there has some effect are induced on their

important mechanical properties such as stiffness, tensile strength and impact

resistance (Moeller, 2008). Vilapna et al. (2006) discovered in their study that multi

recycle polymer will alter the oxidative stability in polymer, hence it significantly

influence the elongation properties of material. Besides, Karahaloiu and Tarantili

(2009) also agreed that thermal degradation occur during reprocessing polymer will

induced the microstructure chain scission and influences the mechanical and

rheological performance of material.

2.4 Plastic Gear

The term 'gear' can be considered as a basic component of machine in

human's life application. The revolution of gears application is begins since the

invention of rotating machinery that used in generating power and motion transfer

(Drago, 1998). The gear applications have received a special attention around the

world due to their unique features in term of technical operation. At the beginning of

creation, the gears have been made from wood. In eighteenth century, during the

British industrial revolution, the metal gear design and manufacturing is rapidly

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developed. Indeed, the development of gear technology is keep expanding till today

especially in materials and design improvement. Modern metallurgy is significantly

contributed to the variety of gear application; i.e. in the automotive industry as well

as electric and electronic devices (Mallesh et al., 2009).

Currently, the performance of plastic gear have achieved a new level in

developing process to replace the metal gears in various application from large

component to micro and nano-scales of electronic devices (Hakimian & Sulong,

2012). Most of technical community are prefer the plastic gear in machine

applications due to several features, such as lubricant-free, silent operation and

lightweight properties (Lin & Kuang, 2008). The advances of materials and

moulding technology have successfully lead the better performance of plastic gear in

carrying load motion and power transmission (Kim, 2006).

According to Mendi et al. (2006), the failure mechanisms of plastic gear have

been exhibited similar to metal gear, for example an excessive wear, creep, tooth

fatigue and deformation. However, the limitations of plastic gear and metal gear are

able distinguished through their performance. In facts, the plastic gears have poor

properties in term of mechanical, thermal resistance, load-carrying capacity, service

life and modulus elasticity compared to metal gear (Senthilvelan & Gnanamoorthy,

2006). Due to these properties, the plastic gear applications are limit and unable to

sustain a high load capacity and accumulated heat.

Over a few decades, a numbers of studies have been conducted to analyse the

quality of material and failure mechanisms of plastic gear during operation. Ikegami

et al. (1986) studied the plastic gear material performance on mechanical strength of

glass and carbon roving clothes reinforcement. The finding shows the glass

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reinforcement is significantly improved the bending strength of plastic gears.

Otherwise, Yakut et al. (2009) investigated the capabilities of plastic gear in resisting

load through a meshing method. As a result, the meshing gears of different polymer

PC/ABS can resist a high load capacity compared to homogeneous polymer PC/PC

and ABS/ABS. Moreover, the modification of plastic gear has been made to

improve the gear performance. Düzcükoğlu (2009) investigated the thermal

distribution on tooth surface of polyamide gear. The cooling holes were drilled at

different location on tooth surface for the purpose of distributing the generated heat.

The results showed, the modified design is successful to decrease the temperature of

tooth surface and wear resistance has been improved. In other works, İmrek (2009)

modified the teeth width of Nylon6 spur gear in order to investigate the gear damage.

From this study, the author found that modified Nylon 6 gears exhibited lower tooth

temperatures and decreased in wear rate.

Most of study was reported on performance of material and gear design

modification (Wright & Kukureka, 2001). However, the study about effect of

manufacturing process in gear making is rarely done. In obtaining a good quality of

plastic gear, advances knowledge of manufacturing process is required. Therefore,

this study emphasized the manufacturing process of plastic gear for better

improvement and it will further discuss in next section.

2.5 Plastic Gear Manufacture

Generally, plastic gears are able to be manufactured via two main methods;

either machining (removal process) or injection moulding (forming process). The

machining process of plastic gear is done similarly to process used in machining of

metal gears. According to Davis (2005), there are several reason to be considered

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machining process over moulding as the manufacturing process of plastic gear; the

small quantities of produced gear is required to justify the tooling cost for moulding

process, complex gear design with a high dimensional tolerance may be too difficult

for moulding, unsuitable plastic materials for moulding process.

However, the produced plastic gear of machining process invariably leave

gear teeth with different strengths, wear resistance and chemical resistance. For

these reasons, the injection moulding is more preferable method in manufacturing of

plastic gear. Besides, the material used in machining process may expose to void

especially for fibrous material such as glass or carbon fibre, when it is used as

additives in moulded gears. The additives may be removed during machining

process and the surface of material will leave openings. Comprehending to these

facts, the injection moulding method is selected process in this study for plastic gear

manufacturing process. Understanding the injection moulding process is needed in

finding the solution related to the quality problems of plastic gear. Therefore, the

fundamental issues of injection moulding will be reviewed in the next section.

2.5.1 Injection Moulding Process

Injection moulding is very common method used in plastic manufacturing

process, especially in producing complex parts and various sizes of mass production.

In facts, more than one third of all thermoplastic materials are manufactured in

injection moulding (Shen et al., 2007). According to Hill (1996), injection moulding

process can be defined as a forcing operation of hot molten polymer into the mould

system. Technically, the main parts of injection moulding machine are consists of

hopper, barrel, screw and mould. In view of in ection moulding process, it can

divided into four phase filling, packing, cooling and e ection ( ozdana

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yerc oğlu, 2002). The beginning of process, the pellet or plastic granular from

hopper is dragged into the hot barrel. The plastic granular is melted due to heat on

barrel surface and the friction of the screw rotation. The reservoir of molten plastic

is accumulated in the barrel. Then, the molten plastic is injected by force pressure

rapidly through a nozzle into a mould cavity. Once the mould cavity is filled,

packing pressure is applied. The moulded part is solidified gradually in cooling

stage. When the product has reached a temperature below the solidification point,

the mould is opened and finally, the product instantly ejected by pusher.

Many of plastic manufacturers preferred the injection moulding method due

to the capability of machine running is continuous with low operating cost and also

provide a high quality product (Tsai et al., 2009). The credibility of injection

moulding method has proven in various plastic manufacturing products such as

medical equipment, electric-electronic devices, and automotive parts, which

exhibited an excellent dimension accuracy and good finished surface as well (Wong

et al., 2008). Therefore, injection moulding is reliable manufacturing method in

producing complex product like plastic gear.

Similar to any manufacturing process, there are some limitations associated

with injection moulding. An intensive effort is required in controlling the parameter

settings of injection moulding in order to achieve a good quality product. Galantucci

and Spina (2003) stated that quality of injection moulded product can be evaluated

based on dimensional stability, appearance and mechanical properties performance.

The dimensional stability is referring to size and shape of moulded part against the

shrinkage and warpage. Moreover, the product appearance is evaluated based on

aesthetics values of moulded part which free from any burn marks, weld lines, poor

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surface finish, air traps and sink marks. Lastly, the mechanical properties of

moulded part can be tested in term of tensile strength, impact strength, elongation

and modulus elasticity.

The consistency quality of moulded part is a crucial aspect in manufacturing

process to satisfy the customer needs. However, there are many influence factors

that contribute to the occurrence of defect product. In facts, the different condition

of injection moulding process may lead a different condition of quality product.

Comprehending to these facts, the root cause of the product defect need to be studied

for further improvement and also optimize all possible defects as well.

2.5.2 Influential Factors on Injection Moulded Quality

According to Chang and Faison (2001), there are several factors need to be

considered in producing a good quality of plastic moulded product; material

selection, mould and product design, and processing parameters. The compatible

settings of material selection, mould design and processing parameters could be

reduces the percentage of defect in production. The explanation on how the factors

are contributes to the occurrence of defect will further discussed in next section.

a) Material Selection

Material selection is a crucial stage in designing the injection moulded

product. Based on statistic survey by Stress Engineering Services (2012), poor

material selection contributes 45% of product failures and it's give a substantial

impact on product's quality performance. There are many factors need to be

considered in selecting the material for product design. Jahan et al. (2010) emphasis

the selection of material is based on various aspect including function of product,

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material properties, processability, cost, constraint, environmental aspects and

aesthetics.

A few studies have been done to present the fundamental and theoretical for

selection procedure of material. Da Costa et al. (2006) analyzed the impact strength

on mixtures of ground scrap rubber tires (SRT) and polypropylene (PP); ethylene–

propylene–diene terpolymer (EPDM) and PP; and, ground SRT, PP and EPDM. The

finding shows, no major change on impact strength of mixed ground scrap rubber

tires (SRT), even it worse then unmixed condition. This is happened due to a poor

adhesion and large rubber particle size. Based on this study, the incompatibility of

material mixed may lead worse material performance.

Moreover, Kurokawa et al. (2003) studied the gear performance on four

different types of carbon fiber reinforced polyamide material; polyamide 12 (PA12),

polyamide 6 (PA6), polyamide 66 (PA66), and polyamide 46 (PA46). As a result, the

author found that material reinforced PA12 of gear shows a great performance in

sustaining high load capacity, noiseless operation and low water absorption.

Furthermore, Moa, et al. (2009) investigated the failure mechanism of gear friction

and wear behaviour. Two different materials, acetal and nylon were used and tested

under a same constant load. The results showed that acetal gear experienced worn on

tooth surface, whereas nylon gear has fractured at root and pitch. From this study,

the different material selection is clearly showing the different performance of

product.

Often, the material selection is done manually. It is very complicated and

expensive process due to various available materials is introduced every years and

the decision maker required a high knowledge and experiences. Today, the material

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selection is not an issue anymore for manufacturer because the material information

is available in material data bank such as computer-aided engineering (CAD)

software and HyperQ/Plastics program (Beiter et al., 1993). The developed

programme software has offered better flexibility in selecting the correct material.

b) Mould System and Product Design

As known, the mould system is a main part in supporting the injection

moulding process. A bad design of mould system can lead to disastrous

consequences on the quality of produced part. Barrière, et al. (2002) emphasized that

mould and product design as well as injection parameter settings have a mutual

influences and interact each other. Therefore, understanding the mould operating

system includes its mouldablility of part geometry and parameter settings are

required in order to improve the product quality.

In the study of Kim et al. (2003), the gate position in mould design

significantly influence the flow pattern of injection molten plastic. The author

observed the resin flow pattern and modified by varying four different gate locations

of mould design in order to avoid the product failure such as short shots formed in

injection process. From this study, the short shots defect has overcome and the

molten plastic smoothly fills in the mould cavity. In another study, Demirer et al.

(2007) conducted an experiment to investigate the effects of runner system on

injection moulding process and properties of injected part. The author made a

comparison for both conditions of mould system, between the conventional runner

systems (CRS) and hot runner system (HRS). Findings of this study showed, the hot

runner system required low injection pressure in producing high weight product. The

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shrinkage and warpage decreased with decreasing process temperature, increased

with decreasing injection pressure.

In view of product design, the performance and functionality of product can

be influenced by modification of product's geometry. Düzcükoğlu (2009) conducted

an experiment to observe the performance of modified and unmodified plastic gear

tooth width. The different loads were applied on gear rotation. The results showed

the wear damage on modified tooth gear has been delayed compared to unmodified

gear. This study has proven that product design significantly influenced the

performance of moulded product. Therefore, the plastic manufacturer must take into

account and should not be underestimated the contribution factor of the product and

mould design that affecting on the quality of moulded part.

c) Processing Parameters

Apart of material selection, mould and product design, parameter settings of

injection moulding is considered as a main contribution factor that affecting the

quality of moulded product. Due to the complexity of injection moulding process,

the variation of defects could be occurred on product such as short shots, shrinkage,

residual stress, warpage, burn mark and sink mark (Oktem et al., 2007). According

to Bryce (1996), there are four basic groups of processing parameters involved in

injection moulding; temperature, time, pressure and distance.

Many researches have been done to investigate the influence of injection

moulding parameters on the quality of the moulded part. Mehat and Kamaruddin

(2011) investigated the effects of injection moulding parameters on the mechanical

properties of recycled plastic toolbox tray. By considering six processing parameters,

the preliminary experiment was conducted via Moldflow Plastic Insight integrated

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with the L18 Taguchi orthogonal array (OA). Subsequently, the significant

parameters obtained from preliminary experiment were used to conduct a principal

experiment via L9 Taguchi OA. As a result, authors found that injection time is

significantly influence the flexural modulus of a recycled toolbox tray by percentage

contribution of 40.49% and the melting temperature is significantly influence the

yield stress with percentage contribution of 43.34%. Zhil’tsova et al. (2009) studied

the effect of filling rate, packing pressure, packing time and hot nozzle temperature

of the mould on the dimensional stability of high density polyethylene (HDPE)

acetabular cups. Findings showed the packing pressure is the most influential factor

on dimensional stability of HDPE acetabular cups.

In other study, Chen et al., (2009) reduced the warpage of moulded thin shell

plastic part. Four processing parameters were analysed via simulation and

experiment. The results obtained from both analyses were compared side-by-side.

As a result, authors found that melting temperature and packing pressure is the most

significant factors in contributing warpage on thin shell. Moreover, Ozcelik (2011)

optimized process parameters condition and weld line on the mechanical properties

of polypropylene (PP) mouldings. Three processing parameters have been considered

including melting temperature, packing pressure and injection pressure. The results

showed the injection pressure and melt temperature are the most important

parameters affecting the maximum tensile load and the extension at break.

In plastic gear making process, compatible injection parameter settings can

improve the quality of moulded gear. Mehat et al., (2012) optimized the process

parameter settings of injection moulding, in order to reduce the shrinkage of tooth

thickness, addendum and dedendum circle of moulded PP. Finding showed that

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packing pressure, cooling time and packing time is the most significant injection

parameters that influenced the dimensional stability of moulded PP gear. In other

study of Mehat et al., (2013), the effects of process parameters settings including

melting temperature, packing pressure, packing time and cooling time have been

studied on properties of elongation and ultimate strength of PA6 plastic gear. The

results indicated that melting temperature, packing pressure, packing time and

cooling time have contributed to the variation performance of elongation and

ultimate strength of moulded PA6 gears.

Comprehending to case studies, the optimal processing parameter settings of

injection moulding is an important factor need to be considered in producing a better

quality moulded part. Therefore, a systematic optimization method is required to

facilitate the parameter settings. For better understanding on the optimization method

used in this research, detail explanation will further discuss in next section.

2.6 Optimization Method

As discussed in previous section, there are many influential factors that

affecting the injection moulded quality product; including inappropriate material

selection, poor mould and product design, and incompatible parameter settings.

However, this study emphasized the optimization of parameter settings in injection

moulding process in order to obtain the optimal performance of quality moulded

product. Therefore, the effectiveness and a reliable optimization method must be

applied to control the influential parameters and directly can improve the product's

quality performance.

Design of experiment (DOE) is one of common method used in designing

and optimizing the process control. In early 1920s, DOE was introduced by British